..
_example.jsonc
[js/web] allow optional input/output in operator test ( #17184 )
2023-08-16 11:50:11 -07:00
abs-int32.jsonc
[js/webgpu] Include Support for neg.int32 ( #17374 )
2023-09-06 12:00:16 -07:00
abs.jsonc
absr.jsonc
abss.jsonc
acos.jsonc
add.jsonc
[js/web] fix suite test list for zero sized tensor ( #19638 )
2024-02-24 10:09:07 -08:00
add_int32.jsonc
add_zero-sized.jsonc
[js/web] fix suite test list for zero sized tensor ( #19638 )
2024-02-24 10:09:07 -08:00
and.jsonc
asin.jsonc
attention.jsonc
[js/web] JSEP Attention & MultiHeadAttention ( #17742 )
2023-11-17 12:23:52 -08:00
batch-norm.jsonc
[js/webgpu] Add BatchNormalization Op ( #18468 )
2023-11-22 15:58:06 -08:00
bias-add.jsonc
[js/web] BiasSplitGelu and BiasAdd kernels ( #17161 )
2023-10-03 12:20:20 -07:00
bias-split-gelu.jsonc
[js/web] BiasSplitGelu and BiasAdd kernels ( #17161 )
2023-10-03 12:20:20 -07:00
cast.jsonc
[js/webgpu] support Cast operator ( #16489 )
2023-08-18 23:51:03 -07:00
ceil.jsonc
concat.jsonc
concat_int32.jsonc
[JS/WebGPU] support Concat.int32 operator ( #17003 )
2023-09-13 00:05:00 -07:00
concat_zero-sized.jsonc
[JS/WebGPU] Preserve zero size input tensor dims. ( #19737 )
2024-03-07 19:07:49 -08:00
conv-transpose.jsonc
[JS/WebGPU] Use non-matmul implementation for ConvTranspose in channel-first case. ( #20022 )
2024-03-23 11:19:14 -07:00
conv.jsonc
[js/webgpu] Provide a vectorized algorithm for GroupedConv ( #18884 )
2024-01-10 16:12:43 -08:00
cos.jsonc
cumsum.jsonc
[js/webgpu] Fix shader compilation errors in cumsum ( #18779 )
2023-12-11 18:11:38 -08:00
depth-to-space.jsonc
div.jsonc
div_int32.jsonc
[js/webgpu] Support int32 type for binary ( #16901 )
2023-08-18 12:19:01 -07:00
einsum.jsonc
[JS/Web] Add uniforms to Einsum ( #18531 )
2023-11-29 15:30:33 -08:00
equal.jsonc
exp.jsonc
expand.jsonc
[js/webgpu] Fix Expand/Gather when input type is bool ( #18999 )
2024-01-05 08:16:15 -08:00
fast-gelu.jsonc
[js/webgpu] support customop FastGelu ( #19392 )
2024-02-06 09:07:31 -08:00
floor.jsonc
fused-conv.jsonc
[js/webgpu] Add LeakyRelu activation for fusedConv ( #19369 )
2024-02-02 09:06:38 -08:00
gather-elements.jsonc
[JS/WebGPU] Support GatherElements kernel ( #17243 )
2023-08-28 09:55:25 -07:00
gather.jsonc
[js/webgpu] Fix Expand/Gather when input type is bool ( #18999 )
2024-01-05 08:16:15 -08:00
gelu.jsonc
[js/web] update op test schema ( #16921 )
2023-08-03 14:20:20 -07:00
gemm.jsonc
global-average-pool.jsonc
[js/webgpu] Support uniforms for pool ( #18656 )
2023-12-05 07:54:30 -08:00
greater.jsonc
identity.jsonc
image-scaler.jsonc
instance-norm.jsonc
[js/webgpu] Fix NAN caused by un-initialized buffer in instance-norm ( #19387 )
2024-03-18 22:59:32 -07:00
layer-norm.jsonc
[JS/Web] The bias input is optional, not required, for LayerNormalization operator ( #17143 )
2023-08-16 10:41:20 -07:00
leaky-relu.jsonc
less.jsonc
log.jsonc
matmul-broadcast.jsonc
[js/webgpu] add matmul broadcast tests ( #17335 )
2023-09-05 20:41:46 -07:00
matmul.jsonc
[js/webgpu] Optimize matmul ( #16969 )
2023-08-29 12:40:57 -07:00
matmulnbits.jsonc
[JS/WebGPU] Improve MatMulNBits perf ( #19974 )
2024-04-12 11:03:05 -07:00
mul.jsonc
mul_int32.jsonc
multi-head-attention.jsonc
[js/web] JSEP Attention & MultiHeadAttention ( #17742 )
2023-11-17 12:23:52 -08:00
neg-int32.jsonc
[js/webgpu] Include Support for neg.int32 ( #17374 )
2023-09-06 12:00:16 -07:00
neg.jsonc
not.jsonc
or.jsonc
pad-big.jsonc
[js/web] update op test schema ( #16921 )
2023-08-03 14:20:20 -07:00
pad.jsonc
[js/web] update op test schema ( #16921 )
2023-08-03 14:20:20 -07:00
pow-big-number.jsonc
[js/web] update op test schema ( #16921 )
2023-08-03 14:20:20 -07:00
pow.jsonc
pow_int32.jsonc
[js/webgpu] Support int32 type for binary ( #16901 )
2023-08-18 12:19:01 -07:00
reduce-min.jsonc
relu.jsonc
reshape-int32.jsonc
reshape-pack.jsonc
reshape.jsonc
[js/webgpu] Fix reshape int32 test case ( #17113 )
2023-08-15 21:18:13 -07:00
resize-pack.jsonc
[js/web] update op test schema ( #16921 )
2023-08-03 14:20:20 -07:00
resize.jsonc
[JS/Web] Sajandhy/webgpu resize scales rank check ( #18954 )
2023-12-29 09:23:27 -08:00
rotary-embedding.jsonc
[js/webgpu] Implement com.microsoft.RotaryEmbedding ( #20209 )
2024-04-08 09:11:26 -07:00
shape.jsonc
simplified-layer-norm.jsonc
[js/web] fix test runner with optional input/output ( #20399 )
2024-04-22 12:53:10 -07:00
sin.jsonc
skip-layer-norm.jsonc
[js/web] fix test runner with optional input/output ( #20399 )
2024-04-22 12:53:10 -07:00
skip-simplified-layer-norm.jsonc
[js/web] fix test runner with optional input/output ( #20399 )
2024-04-22 12:53:10 -07:00
slice.jsonc
[JS/Web]Added uniforms support to Slice op. ( #18422 )
2023-11-16 09:44:13 -08:00
softmax.jsonc
[js/webgpu] Support uniform for softmax ( #18345 )
2023-11-09 11:19:23 -08:00
split.jsonc
[js/web] update op test schema ( #16921 )
2023-08-03 14:20:20 -07:00
sqrt.jsonc
sub.jsonc
sub_int32.jsonc
tan.jsonc
tanh.jsonc
[js/webgpu] Fix Tanh explosion ( #19201 )
2024-01-25 08:25:35 -08:00
tile.jsonc
[JS/WebGPU] Support Tile operator ( #17123 )
2023-08-18 10:07:21 -07:00
transpose.jsonc
[js/webgpu] Fix the transpose error when dims > 4D ( #18027 )
2023-10-23 11:02:19 -07:00
transpose_int32_uint32.jsonc
[js/WebGPU] Support int32 Transpose in WebGPU ( #16952 )
2023-08-02 16:27:24 -07:00
upsample.jsonc
[JS/WebGPU] Add trilinear interpolation to Resize; activation_params attribute is optional for FusedConv also. ( #18842 )
2023-12-27 16:21:29 -08:00
where.jsonc
[JS/WebGPU] Fix Split and Where to handle corner cases. ( #19613 )
2024-02-23 00:21:15 -08:00
where_broadcast.jsonc
[js/webgpu] Support where ( #17544 )
2023-10-03 14:28:21 -07:00
xor.jsonc